Stereo relative pose from line and point feature triplets

Alexander Vakhitov, Victor Lempitsky, Yinqiang Zheng; The European Conference on Computer Vision (ECCV), 2018, pp. 648-663

Stereo relative pose problem lies at the core of stereo visual odometry systems that are used in many applications. In this work we present two minimal solvers for stereo relative pose. We specifically con- sider the case when a minimal set consist of three point or line features and each of them has three known projections on two stereo cameras. We validate the importance of this formulation for practical purposes in our experiments with motion estimation. We then present a complete classi- fication of minimal cases with three point or line correspondences each having three projections, and present two new solvers that can handle all such cases. We demonstrate a considerable effect from the integration of the new solvers into a visual SLAM system.